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中国精品科技期刊2020
许文倩,张亮亮,赵一平,等. 基于网络药理学、分子对接和实验验证探究菊苣酸抗肝癌作用机制[J]. 食品工业科技,2025,46(17):436−446. doi: 10.13386/j.issn1002-0306.2025020219.
引用本文: 许文倩,张亮亮,赵一平,等. 基于网络药理学、分子对接和实验验证探究菊苣酸抗肝癌作用机制[J]. 食品工业科技,2025,46(17):436−446. doi: 10.13386/j.issn1002-0306.2025020219.
XU Wenqian, ZHANG Liangliang, ZHAO Yiping, et al. Network Pharmacology, Molecular Docking and Experimental Verification to Explore the Mechanism of Chicoric Acid against Hepatocellular Carcinoma[J]. Science and Technology of Food Industry, 2025, 46(17): 436−446. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025020219.
Citation: XU Wenqian, ZHANG Liangliang, ZHAO Yiping, et al. Network Pharmacology, Molecular Docking and Experimental Verification to Explore the Mechanism of Chicoric Acid against Hepatocellular Carcinoma[J]. Science and Technology of Food Industry, 2025, 46(17): 436−446. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2025020219.

基于网络药理学、分子对接和实验验证探究菊苣酸抗肝癌作用机制

Network Pharmacology, Molecular Docking and Experimental Verification to Explore the Mechanism of Chicoric Acid against Hepatocellular Carcinoma

  • 摘要: 为了探讨菊苣酸(Chicoric acid,CA)对肝细胞癌(Hepatocellular carcinoma,HCC)的抑制效果及作用机理,本研究采用网络药理学、分子对接和实验验证相结合的方法,系统分析其多靶点作用机制。利用Swiss Target Prediction预测菊苣酸潜在作用靶点,通过整合数据库Liverome与Onco DB.HCC筛选其干预HCC的作用靶点,借助Cytoscape构建蛋白质相互作用网络,通过DAVID数据库进行GO(Gene Ontology)生物功能及KEGG(Kyoto Encyclopedia of Genes and Genomes)通路的分析,利用AutoDock软件对菊苣酸与核心靶点进行对接。最后利用体外Hepa1-6细胞实验,通过CCK8法、细胞划痕实验、关键基因mRNA表达分析检测菊苣酸对肝癌细胞活力及迁移抑制的影响,利用Western blotting验证网络药理学预测的关键通路。该研究共筛选出菊苣酸潜在靶点103个,HCC靶点1007个,交集靶点31个,核心靶点涉及丝氨酸/苏氨酸激酶1(AKT1)与磷脂酰肌醇4,5-二磷酸3-激酶催化亚基α(PIK3CA)等,GO富集分析主要涉及细胞质、蛋白结合、蛋白质水解等,KEGG富集主要涉及PI3K-Akt信号通路与癌症通路等;分子对接显示菊苣酸与关键靶点PI3K及AKT具有良好的结合活性。体外细胞实验表明菊苣酸可以显著抑制肝癌细胞增殖与迁移能力,下调肿瘤生长相关基因EgfrMmp2 mRNA的表达,同时降低PI3K与AKT蛋白的磷酸化。PI3K-Akt通路激动剂诱导促进Hepa1-6细胞增殖与迁移,菊苣酸可显著抑制肝癌细胞进程并下调p-PI3K与p-AKT的表达。该研究初步揭示了菊苣酸抗HCC可能通过调控PI3K-Akt信号通路抑制肝癌细胞增殖与迁移。网络药理学、分子对接结合体外实验验证,为深入研究菊苣酸抗HCC的作用机制提供了科学依据。

     

    Abstract: To investigate the inhibitory effects and mechanisms of chicoric acid (CA) on hepatocellular carcinoma (HCC), this study employed an integrated approach combining network pharmacology, molecular docking, and experimental validation to analyze its multi-target mechanism systematically. Swiss Target Prediction database was used to predict the potential target of CA, while Liverome and Onco DB.HCC databases were integrated to screen HCC-related targets. The protein interaction network was constructed using Cytoscape, followed by GO (Gene Ontology) biological function and KEGG (Kyoto Encyclopedia of Genes and Genes) pathway analyses via the DAVID database. Molecular docking between CA and core targets was performed using AutoDock. Finally, in vitro Hepa1-6 cell experiments were conducted to evaluate the inhibitory effect of CA on HCC cell viability and migration by CCK8 assay, cell scratch test, and mRNA analysis of key genes. The key pathways predicted by network pharmacology were verified by western blotting. In this study, 103 potential targets of CA, 1007 targets of HCC, and 31 intersection targets were screened. The core targets involved serine/threonine kinase 1 (AKT1) and phosphatidylinositol 4, 5-diphosphate 3-kinase catalytic subunit α (PIK3CA). GO enrichment analysis highlighted processes such as cytoplasm, protein binding, and protein hydrolysis, while KEGG analysis revealed enrichment in the PI3K-Akt signaling pathway and cancer pathway. Molecular docking results showed that CA had good binding activity with the key targets PI3K and AKT. In vitro cell experiments demonstrated that CA significantly inhibited the proliferation and migration capabilities of HCC cells, downregulated the mRNA expression of tumor growth-related genes Egfr and Mmp2, and reduced the phosphorylation levels of PI3K and AKT protein. While PI3K-Akt pathway agonists induced the proliferation and migration of Hepa1-6 cells, CA effectively suppressed the progression of HCC cells and downregulated the expression of p-PI3K and p-AKT. This study preliminarily revealed that CA inhibited the proliferation and migration of HCC cells by regulating the PI3K-Akt signaling pathway. The integration of network pharmacology, molecular docking, and in vitro experimental validation provides a scientific basis for an in-depth study of the mechanism of action of CA against HCC.

     

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